Source: International Congress 2015 – Lung function: exploring the boundaries of the respiratory system

Abstract

There is a need to detect respiratory patterns for diagnosis and monitoring of complications. Motion analysis could be a solution, but devices available for research can be cumbersome, expensive and time-consuming.A low-cost chest wall motion assessment prototype was developed. The prototype uses four Microsoft Kinect markerless motion tracking (MKMMT) devices. It produces 3D scans to track respiratory patterns in real time and is non-invasive, compact and portable. The system was validated during 2 minutes of spontaneous breathing at rest and 3 sets of Vital Capacity (VC) manoeuvres in 5 healthy volunteers (seated). Tidal volume (V_T), breathing frequency (f_b), minute ventilation (V'_E), inspiratory capacity (IC), expiratory reserve volume (ERV) and VC obtained by MKMMT were compared with simultaneous measurements of the same parameters obtained using an Opto-Electronic Plethysmography (OEP) system. Results are shown in Table 1.

Tab1: Kinect System / OEP comparison

	Slope	Intercept	r2	Mean Difference	SD of the differences
Vt [L]	0,971	0,059	0,744	0,041	0,101
fb [breaths/min]	0,708	4,952	0,637	-0,124	2,734
VE [L/min]	0,921	1,667	0,766	0,826	1,453
IC [L]	0,697	0,463	0,682	-0,607	0,870
ERV [L]	0,438	0,300	0,219	-0,554	0,511
VC [L]	0,695	0,412	0,655	-1,161	1,224

 

While measurement errors of IC, ERV and VC are still characterized by high variability that requires further research and system refinements, MKMMT provides reliable estimation of ventilatory parameters during spontaneous breathing; allowing low-cost non-invasive evaluation of chest wall breathing patterns.


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Christopher Golby (Coventry, United Kingdom), Christopher Golby, Ludovica Pippa, Andrea Aliverti, Theodoros Arvanitis, Babu Naidu. Development and validation of a low-cost chest wall motion assessment system. Eur Respir J 2015; 46: Suppl. 59, 958

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